Investors are betting that companies will take to Trifacta’s interactive, visual management capabilities that allow users to organize and clean data without having to deal with coding.
Making sense of big data can be hard enough without spending untold hours having to write code or manually clean datasets that simply won’t work with existing BI tools. Trifacta is trying to automate that process with a new software product it announced on Tuesday.
Data-munging specialist Trifacta has raised another $12 million for its mission to speed the process of going from raw data to usable data. As data volumes and types keep piling up, faster tools will mean a lot less wasted time.
A new startup called Paxata wants to make business analysts’ lives easier by automating the process of going from raw data to something that an analytics product like Tableau can actually understand.
A new startup called Trifacta, founded by UC-Berkeley professor Joe Hellerstein and Stanford professor Jeffrey Heer, wants to eliminate much of the hassle of making messy data usable. The company combines machine learning and human-computer interaction, and has raised $4.3 million from Accel Partners.
NASA and a couple other government agencies have kicked off a series of TopCoder challenges designed to find innovative solutions to the government’s big data problems. The first contest is all about making disparate, incompatible data sets usable and actually valuable across agencies.